0477336 20240111140944.520170829235959.9 85021204140 000470009800071 10.1007/978-3-319-60699-6_71 883 10 s. P cav_un_epca*0477343978-3-319-60698-92194-5357volume 577734-743ChamSpringer2017MitkowskiW.KacprzykJ.OprzedkiewiczK.SkruchP. Crank-Nicolson Discretization Method Iterative Learning Control Rectangular Plate cav_un_auth*0243458 Cichy B. PL cav_un_auth*0213204 Augusta Petr UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0243459 Galkowski K. PL cav_un_auth*0228702 Rogers E. GB kapitola v knize An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an Iterative Learning Control (ILC) design for systems whose dynamics are described by a fourth-order partial differential equation. In particular, a discrete in time and space model of a deformable rectangular mirror, as an exemplar application, is derived and used in the ILC design. Finally, the feasibility of the new ILC design is confirmed by numerical simulations. BC 10000 10200 10201 2018 4 RVO:67985556 http://hdl.handle.net/11104/0273711 S RIV/67985556:_____/17:00477336!RIV18-AV0-67985556 191975679 Doplnění UT WOS a Scopus 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods 2017 85021204140 SCOPUS PUBMED 000470009800071 WOS kapitola v knize cav_un_epca*0477343 Trends in Advanced Intelligent Control, Optimization and Automation 978-3-319-60698-9 2194-5357 734 743 Cham Springer 2017 Advances in Intelligent Systems and Computing volume 577 Mitkowski W. 340 340 Kacprzyk J. 340 Oprzedkiewicz K. 340 Skruch P.